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← All postings · March 2021 thread

PicnicHealth (YC S14)

Data Engineer

CompanyPicnicHealth (YC S14)
Websitepicnichealth.com
Roles
  • Data Engineer
  • Front-End Engineer
  • Full-Stack Engineer
  • Machine Learning Engineer
  • Product Manager, Records Platform
Typefull-time
Role taxonomyData / AnalyticsFrontendFull-stack / Product EngineeringAI / ML / ResearchProduct Management
SpecialtiesData Engineering, Frontend, Full-stack, Machine Learning, Product Management
LocationSan Francisco, CA
Salary
Apply viaApplication linkhttps://picnichealth.com/career-details?gh_jid=4883645002
Hiring notes
TechReactNode.jsPythonPostgreSQLKubernetesGCPML/AI
Parsed locationsSan Francisco, CA
Posted byshivanipatel97
PostedMar 1, 2021
SourceView on Hacker News ↗

Original posting

PicnicHealth (YC S14) | San Francisco, CA | Full-Time, Onsite | https://picnichealth.com | Can transfer existing visas PicnicHealth works with patients to collect, digitize, and manage their medical records, empowering them to monitor and control their care via a personal health timeline. Through partnerships with biotech, genomics, and pharma companies, we also aggregate and organize data from big groups of volunteers, which helps power some of today’s most cutting-edge medical research. To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/picnichealth You can see all of our open roles here: https://grnh.se/3b566ba92 * Data Engineer: https://team.picnichealth.com/careerdetails?gh_jid=465624300... * Front-End Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429755900... * Full-Stack Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429692900... * Machine Learning Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429760100... * Product Manager, Records Platform: https://picnichealth.com/career-details?gh_jid=4883645002 Tech Stack: Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).